| 2025 | AISTATS | Global Group Fairness in Federated Learning via Function Tracking. | Yves Rychener, Daniel Kuhn, Yifan Hu |
| 2024 | ECIR | ChatGPT Goes Shopping: LLMs Can Predict Relevance in eCommerce Search. | Beatriz Soviero, Daniel Kuhn, Alexandre Salle, Viviane Pereira Moreira |
| 2023 | ICLR | Context-enriched molecule representations improve few-shot drug discovery. | Johannes Schimunek, Philipp Seidl, Lukas Friedrich, Daniel Kuhn, Friedrich Rippmann, Sepp Hochreiter, Gnter Klambauer |
| 2023 | ICML | End-to-End Learning for Stochastic Optimization: A Bayesian Perspective. | Yves Rychener, Daniel Kuhn, Tobias Sutter |
| 2021 | ICML | Distributionally Robust Optimization with Markovian Data. | Mengmeng Li, Tobias Sutter, Daniel Kuhn |
| 2021 | ICML | Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts. | Bahar Taskesen, Man-Chung Yue, Jose H. Blanchet, Daniel Kuhn, Viet Anh Nguyen |
| 2014 | REFSQ | Calculating Software Projects on a Mockup based approach. | Axel Kalenborn, Daniel Kuhn, Fabian Lorig |
| 2011 | ICDE | SQPR: Stream query planning with reuse. | Evangelia Kalyvianaki, Wolfram Wiesemann, Quang Hieu Vu, Daniel Kuhn, Peter R. Pietzuch |
| 2008 | CCGRID | A Stochastic Programming Approach for QoS-Aware Service Composition. | Wolfram Wiesemann, Ronald Hochreiter, Daniel Kuhn |